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Honeycomb
Honeycomb

19
30
+ 1
0
Vector
Vector

6
21
+ 1
0
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Honeycomb vs Vector: What are the differences?

What is Honeycomb? Observability for a distributed world--designed for high cardinality data and collaborative problem solving 馃悵馃挅. We built Honeycomb to answer the hard questions that come up when you're trying to operate your software鈥搕o debug microservices, serverless, distributed systems, polyglot persistence, containers, and a world of fast, parallel deploys.

What is Vector? On-host performance monitoring framework which exposes hand picked high resolution metrics to every engineer鈥檚 browser, by Netflix. Vector provides a simple way for users to visualize and analyze system and application-level metrics in near real-time. It leverages the battle tested open source system monitoring framework, Performance Co-Pilot (PCP), layering on top a flexible and user-friendly UI. The UI polls metrics at up to 1 second resolution, rendering the data in completely configurable dashboards that simplify cross-metric correlation and analysis.

Honeycomb and Vector can be categorized as "Performance Monitoring" tools.

Vector is an open source tool with 3.17K GitHub stars and 230 GitHub forks. Here's a link to Vector's open source repository on GitHub.

- No public GitHub repository available -

What is Honeycomb?

We built Honeycomb to answer the hard questions that come up when you're trying to operate your software鈥搕o debug microservices, serverless, distributed systems, polyglot persistence, containers, and a world of fast, parallel deploys.

What is Vector?

Vector provides a simple way for users to visualize and analyze system and application-level metrics in near real-time. It leverages the battle tested open source system monitoring framework, Performance Co-Pilot (PCP), layering on top a flexible and user-friendly UI. The UI polls metrics at up to 1 second resolution, rendering the data in completely configurable dashboards that simplify cross-metric correlation and analysis.
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            What are some alternatives to Honeycomb and Vector?
            New Relic
            New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code.
            Datadog
            Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
            ruxit
            Ruxit is a all-in-one performance monitoring solution for cloud natives. In under five minutes customizable dashboard views show you your application's performance data.
            Librato
            Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.
            AppDynamics
            AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
            See all alternatives
            Decisions about Honeycomb and Vector
            Robert Zuber
            Robert Zuber
            CTO at CircleCI | 8 upvotes 110.3K views
            atCircleCICircleCI
            Looker
            Looker
            PostgreSQL
            PostgreSQL
            Amplitude
            Amplitude
            Segment
            Segment
            Rollbar
            Rollbar
            Honeycomb
            Honeycomb
            PagerDuty
            PagerDuty
            Datadog
            Datadog

            Our primary source of monitoring and alerting is Datadog. We鈥檝e got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We鈥檝e definitely scaled past the point where managing dashboards is easy, but we haven鈥檛 had time to invest in using features like Anomaly Detection. We鈥檝e started using Honeycomb for some targeted debugging of complex production issues and we are liking what we鈥檝e seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.

            We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.

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